SingleCellSignalR

This package is for version 3.11 of Bioconductor; for the stable, up-to-date release version, see SingleCellSignalR.

Cell Signalling Using Single Cell RNAseq Data Analysis


Bioconductor version: 3.11

Allows single cell RNA seq data analysis, clustering, creates internal network and infers cell-cell interactions.

Author: Simon Cabello-Aguilar [aut], Jacques Colinge [cre, aut]

Maintainer: Jacques Colinge <jacques.colinge at inserm.fr>

Citation (from within R, enter citation("SingleCellSignalR")):

Installation

To install this package, start R (version "4.0") and enter:


if (!require("BiocManager", quietly = TRUE))
    install.packages("BiocManager")

BiocManager::install("SingleCellSignalR")

For older versions of R, please refer to the appropriate Bioconductor release.

Documentation

To view documentation for the version of this package installed in your system, start R and enter:

browseVignettes("SingleCellSignalR")
my-vignette HTML R Script
Reference Manual PDF
NEWS Text

Details

biocViews Classification, Clustering, Network, RNASeq, SingleCell, Software
Version 1.0.0
In Bioconductor since BioC 3.11 (R-4.0) (4 years)
License GPL-3
Depends R (>= 4.0)
Imports BiocManager, circlize, limma, igraph, gplots, grDevices, edgeR, SIMLR, data.table, pheatmap, stats, Rtsne, graphics, stringr, foreach, multtest, scran, utils
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Package Archives

Follow Installation instructions to use this package in your R session.

Source Package SingleCellSignalR_1.0.0.tar.gz
Windows Binary SingleCellSignalR_1.0.0.zip
macOS 10.13 (High Sierra) SingleCellSignalR_1.0.0.tgz
Source Repository git clone https://git.bioconductor.org/packages/SingleCellSignalR
Source Repository (Developer Access) git clone git@git.bioconductor.org:packages/SingleCellSignalR
Bioc Package Browser https://code.bioconductor.org/browse/SingleCellSignalR/
Package Short Url https://bioconductor.org/packages/SingleCellSignalR/
Package Downloads Report Download Stats
Old Source Packages for BioC 3.11 Source Archive